Nash equilibrium for collective strategic reasoning

In multi-player games, the Nash Equilibrium (NE) profile concept deserves a team for selecting strategies during a match, so no player – except in own prejudice – individually deviates from the team selected strategy. By using NE strategy profiles, the way a baseball team increases the possibilities to a match victory is payoff-matrices-based analyzed in this paper. Each matrix entry arrange each player’s strategies by regarding the ones from mates and adversaries, and posterior to a NE-profile-selection, the matrix from all players strategies can support the manager’s strategic decision-making in the course of a match. A finite state machine, a formal grammar and a generator of random plays are the algorithmic fundament for this collective strategic reasoning automation. The relationships to e-commerce, social and political scopes, as well as to computing issues are reviewed.

► Nash equilibrium for collective strategic reasoning being payoff-matrix formalized.
► Collective algorithmic baseball gaming based on formal language and state automaton.
► Real-like baseball gaming simulator by FSA, probability and random plays generation.
► Baseball-team strategies choice by Nash equilibrium payoff-matrix in a match gaming.
► Baseball gaming simulations noteworthy results, by applying NE strategic reasoning.